Risk factor and prediction model construction for postoperative gastroparesis syndrome after laparoscopic radical gastrectomy for gastric cancer

To analyze the risk factors for postoperative gastroparesis syndrome (PGS) in gastric cancer patients undergoing laparoscopic radical gastrectomy (LRG) and to construct and validate a nomogram prediction model for PGS.

The clinical data of 439 gastric cancer patients were retrospectively analyzed. Patients were divided into PGS group and control group based on whether PGS occurred within 2 months after surgery. Logistic regression analysis was used to screen for risk factors of PGS in LRG patients, and a nomogram prediction model was constructed based on the screening results. The discriminative ability of the nomogram was assessed by the receiver operating characteristic (ROC) curve, and its consistency was evaluated by the calibration curve.

Among 439 patients, 52 developed PGS, with an incidence rate of 11.85%. The proportions of patients aged ≥60 years, complicating with diabetes, having a history of abdominal surgery, complicating with pyloric obstruction, having surgery duration ≥4 hours, and intraoperative anastomosis type of B-Ⅱ were higher in the PGS group than those in the control group (P < 0.05). The results of multivariate Logistic regression analysis showed that diabetes, a history of abdominal surgery, pyloric obstruction, surgery duration ≥4 hours, and intraoperative anastomosis type of B-Ⅱ were risk factors for PGS in LRG patients (P < 0.05). Internal validation results showed that the area under the ROC curve was 0.839 (95%CI, 0.773 to 0.905), the calibration curve fitted well, and the Hosmer-Lemeshow goodness-of-fit test result was good(χ²=9.078, P=0.247).

Diabetes, a history of abdominal surgery, pyloric obstruction, surgery duration ≥4 hours, and intraoperative anastomosis type of B-Ⅱ are risk factors for PGS in LRG patients. The nomogram constructed based on these factors can effectively predict the risk of PGS in LRG patients.